FS-MLC: Feature selection for multi-label classification using clustering in feature space.
Nitin Kumar MishraPramod Kumar SinghPublished in: Inf. Process. Manag. (2020)
Keyphrases
- feature selection
- multi label
- multi label classification
- feature space
- text categorization
- high dimensionality
- text classification
- classification accuracy
- unsupervised learning
- feature set
- binary classification
- data points
- label space
- image annotation
- k means
- graph cuts
- dimensionality reduction
- clustering algorithm
- support vector
- multi class
- support vector machine
- feature extraction
- learning tasks
- k nearest neighbor
- kernel function
- machine learning
- class labels
- feature vectors
- training samples
- semi supervised learning
- high dimensional data
- image classification
- knn
- microarray
- classification algorithm
- kernel methods
- principal component analysis
- image representation
- prediction accuracy
- naive bayes
- high dimensional
- model selection
- microarray data
- low dimensional
- cost sensitive
- face recognition